Conciseness

Mostly efficient but includes repetition that could be tightened: optimization metrics are listed twice (section 3 and the trailing line), there are two separately titled "Constraints" sections, and the "Integration with Other Skills" section is largely filler.

Actionability

Provides concrete, copy-paste-ready prompt templates (few-shot example, CoT structure, template system, system-prompt framework) and a pitfalls table with fixes; the workflows themselves are higher-level guidance rather than exact commands, leaving minor gaps.

Workflow Clarity

Three numbered workflows with clear sequences and a feedback loop in Workflow 2 ("If accuracy < baseline, revert... return to step 2") plus a Quality Gates checklist; Workflow 3 is more abstract and lacks validation checkpoints, so it stops short of a 5.

Progressive Disclosure

Keeps the overview in SKILL.md and points to five one-level-deep reference files that all exist; each section clearly signals which reference to load, and a Resources and References section consolidates navigation.

Specificity

Lists multiple concrete actions — "write, debug, and optimize prompts" plus four named sub-areas (few-shot example selection, chain-of-thought structuring, system prompt design, template composition) — giving comprehensive coverage of the domain.

Completeness

Explicitly answers both what ("Provides workflows to write, debug, and optimize prompts...") and when ("Use when the user asks to write or improve a prompt...") with concrete trigger phrases.

Trigger Term Quality

Includes natural phrases users actually say — "write or improve a prompt", "few-shot examples", "chain-of-thought", "system prompts", "prompt templates", "better results from an LLM" — with synonyms across the prompt-engineering vocabulary.

Distinctiveness Conflict Risk

Occupies a clear niche (LLM prompt engineering) with distinct, specific triggers (few-shot, CoT, system prompts, templates) that minimize overlap with other skills.